Machine Learning Security Engineer

Job Title: Machine Learning Security Engineer

We are seeking a motivated Entry-Level Machine Learning Security Engineer to help secure machine learning systems, data pipelines, and cloud-based AI infrastructure. In this role, you will collaborate with engineering, DevOps, data science, and security teams to identify vulnerabilities, protect sensitive data, and ensure secure deployment of ML systems across modern cloud environments.

Key Responsibilities

• Identify vulnerabilities such as data poisoning, model inversion, and adversarial attacks
• Help implement safeguards against model exploitation and misuse
• Support secure deployment of ML systems on cloud platforms like AWS, Azure, and Google Cloud Platform
• Monitor cloud environments for misconfigurations and unauthorized access
• Participate in implementing network security controls (VPCs, firewalls, private endpoints)
• Participate in testing models against adversarial inputs
  
  

Required Qualifications

• Bachelor’s degree in Computer Science, Cybersecurity, Data Science, or related field
• Basic understanding of machine learning concepts (training, evaluation, deployment)
• Familiarity with Python and ML libraries
• Understanding of core cybersecurity principles (authentication, encryption, networking)
• Basic knowledge of cloud computing concepts (compute, storage, networking)
• Hands-on experience with AWS, Azure, or GCP
• Familiarity with cloud IAM, networking, and storage security concepts
• Exposure to adversarial machine learning or AI security topics
• Experience with containers (Docker) and orchestration (Kubernetes)
• Knowledge of Infrastructure as Code (Terraform, CloudFormation)